Robust lane marking detection based on multi-feature fusion

In the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which combine color and edge lane marking information. Firstly, by knowing the vehic...

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Hovedforfatter: Cáceres Hernández, Danilo (author)
Andre forfattere: Seo, Dongwook (author), Hyun Jo, Kang (author)
Format: article
Sprog:engelsk
Udgivet: 2018
Fag:
Online adgang:https://ieeexplore.ieee.org/abstract/document/7529668/
http://ridda2.utp.ac.pa/handle/123456789/5095
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author Cáceres Hernández, Danilo
author2 Seo, Dongwook
Hyun Jo, Kang
author2_role author
author
author_browse Cáceres Hernández, Danilo
Hyun Jo, Kang
Seo, Dongwook
author_facet Cáceres Hernández, Danilo
Seo, Dongwook
Hyun Jo, Kang
author_role author
collection Repositorio Institucional de documento digitales de acceso abierto de la UTP
dc.creator.none.fl_str_mv Cáceres Hernández, Danilo
Seo, Dongwook
Hyun Jo, Kang
dc.date.none.fl_str_mv 07/06/2016
07/06/2016
2018-06-29T22:03:13Z
2018-06-29T22:03:13Z
2018-06-29T22:03:13Z
2018-06-29T22:03:13Z
dc.format.none.fl_str_mv application/pdf
text/html
dc.identifier.none.fl_str_mv https://ieeexplore.ieee.org/abstract/document/7529668/
http://ridda2.utp.ac.pa/handle/123456789/5095
http://ridda2.utp.ac.pa/handle/123456789/5095
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/embargoedAccess
dc.source.none.fl_str_mv reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP
instname:Universidad Tecnológica de Panamá
instacron:U Tecnológica de Panamá
dc.subject.none.fl_str_mv Image color analysis
Feature extraction
Roads
Image edge detection
Cameras
Vehicles
Image segmentation
Image color analysis
Feature extraction
Roads
Image edge detection
Cameras
Vehicles
Image segmentation
dc.title.none.fl_str_mv Robust lane marking detection based on multi-feature fusion
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description In the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which combine color and edge lane marking information. Firstly, by knowing the vehicle speed the road surface region of interest is extracted using the typical stopping distance. Secondly, a lane marking clustering method is introduced. This is done by combining the edge and color information of the lane marking. Finally, a fitting model is implemented. A line fitting model is used to extract the lane marking parameters. However for those regions in which lane can not described as a line, the algorithm computed the curve parameters using Lagrange interpolating polynomial.
eu_rights_str_mv embargoedAccess
format article
id lrtest_b5e01737ff4a0b0f69d976e4fcc00cc5
instacron_str U Tecnológica de Panamá
institution U Tecnológica de Panamá
instname_str Universidad Tecnológica de Panamá
language eng
network_acronym_str lrtest
network_name_str lr
oai_identifier_str oai:ridda2.utp.ac.pa:123456789/5095
publishDate 2018
publishDateSort 2018
reponame_str Repositorio Institucional de documento digitales de acceso abierto de la UTP
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling Robust lane marking detection based on multi-feature fusionCáceres Hernández, DaniloSeo, DongwookHyun Jo, KangImage color analysisFeature extractionRoadsImage edge detectionCamerasVehiclesImage segmentationImage color analysisFeature extractionRoadsImage edge detectionCamerasVehiclesImage segmentationIn the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which combine color and edge lane marking information. Firstly, by knowing the vehicle speed the road surface region of interest is extracted using the typical stopping distance. Secondly, a lane marking clustering method is introduced. This is done by combining the edge and color information of the lane marking. Finally, a fitting model is implemented. A line fitting model is used to extract the lane marking parameters. However for those regions in which lane can not described as a line, the algorithm computed the curve parameters using Lagrange interpolating polynomial.In the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which combine color and edge lane marking information. Firstly, by knowing the vehicle speed the road surface region of interest is extracted using the typical stopping distance. Secondly, a lane marking clustering method is introduced. This is done by combining the edge and color information of the lane marking. Finally, a fitting model is implemented. A line fitting model is used to extract the lane marking parameters. However for those regions in which lane can not described as a line, the algorithm computed the curve parameters using Lagrange interpolating polynomial.2018-06-29T22:03:13Z2018-06-29T22:03:13Z2018-06-29T22:03:13Z2018-06-29T22:03:13Z07/06/201607/06/2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://ieeexplore.ieee.org/abstract/document/7529668/http://ridda2.utp.ac.pa/handle/123456789/5095http://ridda2.utp.ac.pa/handle/123456789/5095enginfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/50952021-07-06T15:34:55Z
spellingShingle Robust lane marking detection based on multi-feature fusion
Cáceres Hernández, Danilo
Image color analysis
Feature extraction
Roads
Image edge detection
Cameras
Vehicles
Image segmentation
Image color analysis
Feature extraction
Roads
Image edge detection
Cameras
Vehicles
Image segmentation
status_str publishedVersion
title Robust lane marking detection based on multi-feature fusion
title_full Robust lane marking detection based on multi-feature fusion
title_fullStr Robust lane marking detection based on multi-feature fusion
title_full_unstemmed Robust lane marking detection based on multi-feature fusion
title_short Robust lane marking detection based on multi-feature fusion
title_sort Robust lane marking detection based on multi-feature fusion
topic Image color analysis
Feature extraction
Roads
Image edge detection
Cameras
Vehicles
Image segmentation
Image color analysis
Feature extraction
Roads
Image edge detection
Cameras
Vehicles
Image segmentation
url https://ieeexplore.ieee.org/abstract/document/7529668/
http://ridda2.utp.ac.pa/handle/123456789/5095